Portfolio

Selected work showing how field data, Earth observation, soil spectroscopy, machine learning, and decision-support interfaces can be combined into practical environmental intelligence workflows.

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  • Agriculture
  • Earth Observation
  • AI & LLM
  • Environment
TerraFed

TerraFed

Privacy-Preserving Software Development

Privacy-preserving federated learning and GeoAI workflow for collaborative soil mapping, carbon and texture monitoring, and dashboard-ready outputs.

Federated Learning Soil Spectroscopy EO Features
Lab Protocols & Pipelines spectral signature preview

Lab Protocols & Pipelines

Published Research Workflow

Reproducible soil spectroscopy and spectral-quality workflows supporting consistent model development, filtering, and cross-dataset analysis.

Spectral QC (SQuaP) Reproducibility Pipelines
GaiaBot

GaiaBot

Environmental AI Agent

Conversational environmental assistant connecting Earth observation layers, field context, and trusted references to support practical agricultural and soil-management decisions.

LLM Decision Support Ag Analytics
Field Sampling

Field Sampling

Field Campaign Design & Coordination

Ground-truth field campaigns for soil, water, carbon, drone-based mapping, and EO/ML model validation.

Fieldwork Carbon & Water UAV
EO Dashboards

EO Dashboards

Interactive UI & Decision-Support Design

Interactive Web GIS and dashboard tools for soil monitoring, irrigation scheduling, and communication of EO-derived environmental indicators.

SoilViewer Web GIS Irrigation
Multi-Sensor RobotDog Platform

Multi-Sensor RobotDog Platform

Edge Sensing Systems

Exploratory multi-sensor robotics platform integrating RGB, hyperspectral, LiDAR, and edge computing for agricultural mapping and field intelligence.

Robotics Hyperspectral Jetson
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